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- W2596546984 abstract "Evaluation of the relationships between the structure of animalassemblages and habitat distribution crucially depends onaccurate habitat description as well as on considering issuesconnected with spatial autocorrelation. In our study, we focuson evaluation of relative effects of field-mapped naturalhabitats and climatic variables on broad-scale distributionpatterns of mammals, birds, reptiles, amphibians andbutterflies native to the Czech Republic. We also compareperformance of field-mapped natural habitats with habitatdescription based on land-cover data derived from remotesensing. To quantify and test the effect of each environmentalvariable, we used redundancy analysis, where spatialautocorrelation was accounted for by spatial filters created byMoran’s eigenvector maps. Significant environmental variableswere finally used in variation partitioning to quantify theamount of variation explained by sets of climatic, habitat andland-cover variables. Our results showed that individualclimatic variables explained generally more variation thannatural habitat types, but if we accounted for spatialautocorrelation the relative importance of natural habitatsincreased whereas importance of climatic variables generallydecreased. Variation partitioning revealed that shared effectsof climate, natural habitats and land-cover explain mostvariation in distribution patterns of all groups. However,natural habitats always performed better than land-cover andclimate." @default.
- W2596546984 created "2017-03-23" @default.
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- W2596546984 date "2013-01-01" @default.
- W2596546984 modified "2023-10-16" @default.
- W2596546984 title "How is broad-scale distribution pattern in different animalgroups explained by climate, natural habitats and land-coverwhile accounting for spatial autocorrelation?" @default.
- W2596546984 hasPublicationYear "2013" @default.
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